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Journal of Experimental & Theoretical Artificial Intelligence Volume 29, 2017 - Issue 6
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Original Articles

Efficient hiding of confidential high-utility itemsets with minimal side effects

Jerry Chun-Wei LinFujian Provincial Key Laboatory of Big Data Mining and Applications, Fujian University of Technology, Fujian, China.;School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.Correspondence[email protected]
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,
Tzung-Pei HongDepartment of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan.;Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.View further author information
,
Philippe Fournier-VigerSchool of Natural Sciences and Humanities, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.ORCID Iconhttp://orcid.org/0000-0002-7680-9899View further author information
ORCID Icon,
Qiankun LiuSchool of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China.View further author information
,
Jia-Wei WongDepartment of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan.View further author information
&
Justin ZhanDepartment of Computer Science, University of Nevada, Las Vegas, NV, USA.View further author information
Pages 1225-1245 | Received 07 Nov 2015, Accepted 29 Apr 2017, Published online: 15 May 2017

Citations (19)

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Xuan Liu, Genlang Chen, Shiting Wen & Jingfang Huang. (2022) Effective algorithms for mining frequent-utility itemsets. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-28.
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Emmanuelle Grislin-Le Strugeon, Kathia Marcal de Oliveira, Marie Thilliez & Dorian Petit. (2022) A systematic mapping study on agent mining. Journal of Experimental & Theoretical Artificial Intelligence 34:2, pages 189-214.
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Articles from other publishers (17)

Duc Nguyen, Minh-Thai Tran & Bac Le. (2023) A new algorithm using integer programming relaxation for privacy-preserving in utility mining. Applied Intelligence 53:21, pages 25106-25118.
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Mohamed Ashraf, Sherine Rady, Tamer Abdelkader & Tarek F. Gharib. (2023) Efficient privacy preserving algorithms for hiding sensitive high utility itemsets. Computers & Security 132, pages 103360.
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Mohamed Ashraf, Sherine Rady, Tamer Abdelkader & Tarek F. Gharib. 2023. Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022. Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022 381 394 .
Bac Le, Tin Truong, Hai Duong, Philippe Fournier-Viger & Hamido Fujita. (2022) H-FHAUI: Hiding frequent high average utility itemsets. Information Sciences 611, pages 408-431.
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Shalini Jangra & Durga Toshniwal. (2022) Efficient algorithms for victim item selection in privacy-preserving utility mining. Future Generation Computer Systems 128, pages 219-234.
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Ut Huynh, Bac Le, Duy-Tai Dinh & Hamido Fujita. (2022) Multi-core parallel algorithms for hiding high-utility sequential patterns. Knowledge-Based Systems 237, pages 107793.
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B. Santhosh Kumar, S. Karthik & R. Cristin. (2021) Certain Inverstigations on Privacy-Preserving Data Mining Using Three-Dimensional Spin Revolution (3DSR) Scheme. Journal of The Institution of Engineers (India): Series B 102:2, pages 387-402.
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Xuan Liu, Genlang Chen, Shiting Wen & Guanghui Song. (2020) An Improved Sanitization Algorithm in Privacy-Preserving Utility Mining. Mathematical Problems in Engineering 2020, pages 1-14.
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Xuan Liu, Shiting Wen & Wanli Zuo. (2019) Effective sanitization approaches to protect sensitive knowledge in high-utility itemset mining. Applied Intelligence 50:1, pages 169-191.
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Felix Zhan. (2019) How to Optimize Social Network Influence. How to Optimize Social Network Influence.
Shaoxin Li, Nankun Mu, Junqing Le & Xiaofeng Liao. (2019) A novel algorithm for privacy preserving utility mining based on integer linear programming. Engineering Applications of Artificial Intelligence 81, pages 300-312.
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Wensheng Gan, Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent Tseng & Philip Yu. (2019) A Survey of Utility-Oriented Pattern Mining. IEEE Transactions on Knowledge and Data Engineering, pages 1-1.
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Duy-Tai Dinh, Van-Nam Huynh, Bac Le, Philippe Fournier-Viger, Ut Huynh & Quang-Minh Nguyen. 2019. High-Utility Pattern Mining. High-Utility Pattern Mining 207 232 .
Wensheng Gan, Jerry Chun-Wei, Han-Chieh Chao, Shyue-Liang Wang & Philip S. Yu. (2018) Privacy Preserving Utility Mining: A Survey. Privacy Preserving Utility Mining: A Survey.
Jerry Chun-Wei Lin, Philippe Fournier-Viger, Lintai Wu, Wensheng Gan, Youcef Djenouri & Ji Zhang. (2018) PPSF: An Open-Source Privacy-Preserving and Security Mining Framework. PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.
Vy Huynh Trieu, Chau Truong Ngoc, Hai Le Quoc & Nguyen Nguyen Si. (2018) Algorithm for Hiding High Utility Sensitive Association Rule Based on Intersection Lattice. Algorithm for Hiding High Utility Sensitive Association Rule Based on Intersection Lattice.
Carter Chiu & Justin Zhan. (2018) Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators. IEEE Access 6, pages 35937-35945.
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